Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Defining and delivering the organisation's comprehensive business intelligence, analytics, and data product strategy whilst establishing robust data governance frameworks, ensuring regulatory compliance, and leading cross-functional teams to identify and prioritise high-impact analytics initiatives that support strategic decision-making. Building interactive data visualisation dashboards and self-service analytics platforms to enable data-driven decision-making across the organisation, including the design of advanced analytics models such as credit scoring, propensity modelling, and churn prediction Managing analytics resources and project timelines whilst driving data literacy adoption and maintaining data quality standards across the business

Type of Qualification: Bachelor's Degree
Field of Study: Statistics, Mathematics, Computer Science, Information Systems, Data Science, Engineering, Physics, Economics, or a related quantitative discipline.

A postgraduate qualification in Data Science, Statistics, Artificial Intelligence, Machine Learning, Analytics, or a related field would be an added advantage

Experience Required
5-7 years

• A minimum of five years of hands-on experience in Advanced Analytics, Decision Science, Business Analytics, Data Products, or a comparable discipline.
• Demonstrable leadership experience of at least 2 to 3 years, including managing teams, leading analytical workstreams, or coordinating analytics capabilities and resources.
• Prior experience in banking, financial services, fintech, telecommunications, or another data-intensive sector is preferred.
• Evidence of successfully delivering analytics-driven insights and solutions that have supported key business decision-making processes.

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Examining Information
• Interacting with People
• Interpreting Data
• Providing Insights
• Team Working

Technical Competencies:

• Data Analysis
• Data Integrity
• Knowledge Classification
• Research & Information Gathering
• Knowledhe of Python and R